Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls.
Hang LiAhmed MouradShengyao ZhuangBevan KoopmanGuido ZucconPublished in: CoRR (2021)
Keyphrases
- language model
- pseudo relevance feedback
- language modeling
- query expansion
- document retrieval
- language modelling
- retrieval accuracy
- relevance model
- ad hoc retrieval
- probabilistic model
- information retrieval
- n gram
- retrieved documents
- retrieval model
- test collection
- query specific
- pseudo feedback
- ad hoc information retrieval
- query terms
- automatic query expansion
- trec collections
- vector space model
- smoothing methods
- retrieval effectiveness
- expert search
- precision and recall
- document representation
- document level
- document ranking
- document length
- improve retrieval accuracy
- translation model
- original query
- text retrieval
- relevant documents
- information extraction
- multimedia
- feature selection